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aliran tensor:: operasi:: TensorArraySplit
#include <data_flow_ops.h> Pisahkan data dari nilai input menjadi elemen TensorArray .
Ringkasan
Dengan asumsi bahwa lengths mengambil nilai
(n0, n1, ..., n(T-1))
and that `value` has shape
(n0 + n1 + ... + n(T-1) x d0 x d1 x ...)```,
this splits values into a TensorArray with T tensors.
TensorArray index t will be the subtensor of values with starting position
```(n0 + n1 + ... + n(t-1), 0, 0, ...)
and having size
nt x d0 x d1 x ...```
Arguments:
- scope: A Scope object
- handle: The handle to a TensorArray.
- value: The concatenated tensor to write to the TensorArray.
- lengths: The vector of lengths, how to split the rows of value into the TensorArray.
- flow_in: A float scalar that enforces proper chaining of operations.
Returns:
Output: A float scalar that enforces proper chaining of operations.
Public attributes
Fungsi publik
simpul
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Keluaran
operator::tensorflow::Output() const
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Terakhir diperbarui pada 2025-07-26 UTC.
[null,null,["Terakhir diperbarui pada 2025-07-26 UTC."],[],[],null,["# tensorflow::ops::TensorArraySplit Class Reference\n\ntensorflow::ops::TensorArraySplit\n=================================\n\n`#include \u003cdata_flow_ops.h\u003e`\n\nSplit the data from the input value into [TensorArray](/versions/r2.0/api_docs/cc/class/tensorflow/ops/tensor-array#classtensorflow_1_1ops_1_1_tensor_array) elements.\n\nSummary\n-------\n\nAssuming that `lengths` takes on values\n\n(n0, n1, ..., n(T-1)) \n\n``````mysql\n\n \n and that `value` has shape\n \n \n`````text\n(n0 + n1 + ... + n(T-1) x d0 x d1 x ...)```,\n this splits values into a /versions/r2.0/api_docs/cc/class/tensorflow/ops/tensor-array#classtensorflow_1_1ops_1_1_tensor_array with T tensors.\n /versions/r2.0/api_docs/cc/class/tensorflow/ops/tensor-array#classtensorflow_1_1ops_1_1_tensor_array index t will be the subtensor of values with starting position\n ```(n0 + n1 + ... + n(t-1), 0, 0, ...)\u003cbr /\u003e\n\n\n\n \n\n \n\n```\nand having size\n```\n\n \n\u003cbr /\u003e\n\n\n\n \n\u003cbr /\u003e\n\n\n\n\n````gdscript\nnt x d0 x d1 x ...```\n Arguments:\n \n- scope: A /versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope object\n\n \n- handle: The handle to a /versions/r2.0/api_docs/cc/class/tensorflow/ops/tensor-array#classtensorflow_1_1ops_1_1_tensor_array.\n\n \n- value: The concatenated tensor to write to the /versions/r2.0/api_docs/cc/class/tensorflow/ops/tensor-array#classtensorflow_1_1ops_1_1_tensor_array.\n\n \n- lengths: The vector of lengths, how to split the rows of value into the /versions/r2.0/api_docs/cc/class/tensorflow/ops/tensor-array#classtensorflow_1_1ops_1_1_tensor_array.\n\n \n- flow_in: A float scalar that enforces proper chaining of operations.\n\n \n\n Returns:\n \n- /versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output: A float scalar that enforces proper chaining of operations. \n\n \n\n \n\n\n \n### Constructors and Destructors\n\n\n \n\n\n\n #classtensorflow_1_1ops_1_1_tensor_array_split_1ae33a80f5f64f1d0ce47cb9ba380ee6bb(const ::/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope & scope, ::/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input handle, ::/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input value, ::/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input lengths, ::/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input flow_in)\n \n\n \n\n\n \n\n\n \n### Public attributes\n\n\n \n\n\n\n #classtensorflow_1_1ops_1_1_tensor_array_split_1a6a6beee076f43e4045b8327c9a8f0be9\n \n\n \n\n ::/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output\n \n\n \n\n\n\n #classtensorflow_1_1ops_1_1_tensor_array_split_1a1cf9133d6b7032ba48abeff356547a58\n \n\n \n\n /versions/r2.0/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation\n \n\n \n\n\n \n\n\n \n### Public functions\n\n\n \n\n\n\n #classtensorflow_1_1ops_1_1_tensor_array_split_1ad03cc93202545e0234d90faee0425ed9() const \n \n\n \n\n ::tensorflow::Node *\n \n\n \n\n\n\n #classtensorflow_1_1ops_1_1_tensor_array_split_1ac2029be4ba96df5da32f6bd0fc3fb8b1() const \n \n\n \n\n `\n` \n`\n` \n\n\n\n #classtensorflow_1_1ops_1_1_tensor_array_split_1ab90a5c257e9a8df6209a663ade45e3fc() const \n \n\n \n\n `\n` \n`\n` \n\n\n Public attributes\n \n \n### flow_out\n\n\n \n```\n::tensorflow::Output flow_out\n```\n\n \n\n \n \n \n### operation\n\n\n \n\n\n```text\nOperation operation\n```\n\n \n\n \n Public functions\n \n \n### TensorArraySplit\n\n\n \n\n\n```gdscript\n TensorArraySplit(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input handle,\n ::tensorflow::Input value,\n ::tensorflow::Input lengths,\n ::tensorflow::Input flow_in\n)\n```\n\n \n\n \n \n \n### node\n\n\n \n\n\n```gdscript\n::tensorflow::Node * node() const \n```\n\n \n\n \n \n \n### operator::tensorflow::Input\n\n\n \n\n\n```gdscript\n operator::tensorflow::Input() const \n```\n\n \n\n \n \n \n### operator::tensorflow::Output\n\n\n \n\n\n```gdscript\n operator::tensorflow::Output() const \n```\n\n \n\n \n\n \n\n \n````\n`````\n``````"]]
